Phaneendhra K

About Phaneendhra K

As a Senior Data Engineer with over 8 years of experience, I specialize in building scalable data pipelines, designing robust architectures, and leveraging advanced analytics to drive data-driven decision-making. My expertise spans a diverse range of technologies including [list relevant technologies, e.g, Apache Spark, Hadoop, SQL, Python, etc.], and I excel in transforming complex data challenges into actionable insights. Throughout my career, I have demonstrated a proven ability to lead cross-functional teams, manage large-scale data projects, and optimize performance to meet organizational goals. My approach is grounded in a deep understanding of both data engineering principles and business needs, ensuring that solutions are not only technically sound but also aligned with strategic objectives.

Experience

1. Business Data Analyst

   Wells Fargo

   Apr 2024 — Present · Salt Lake City, UT, US

   Analyzed wealth management portfolios for clients using SQL queries and statistical analysis, delivering actionable insights that increased sales performance by 15%. Implemented comprehensive client profiling and investment tracking methodologies to optimize portfolio management strategies.• Built Power BI dashboards with automated workflows processing daily transaction volumes, enabling real-time performance monitoring across all regional banking operations. Integrated multiple data sources to provide comprehensive operational visibility and strategic insights.• Developed Python analytics leveraging Pandas and NumPy libraries for comprehensive client financial profiling, investment tracking, and sophisticated risk assessment modeling. Automated data processing workflows to enhance analytical efficiency and accuracy.• Collaborated directly with financial advisors and regional branch managers to establish performance KPIs, define reporting standards, and align analytics with strategic business goals. Facilitated cross-functional communication to ensure data-driven decision making.• Generated regulatory compliance documentation and executive reporting frameworks, providing leadership with data-driven insights for strategic banking decisions and oversight. Ensured adherence to financial industry regulations and reporting requirements.• Implemented automated data validation processes and quality control measures, ensuring 99.8% accuracy in client reporting while reducing manual verification tasks. Established robust data governance practices to maintain data integrity and reliability.